Department of Energy Announces $16 Million for Research on Scientific Machine Learning for Complex Systems

Today, the U.S. Department of Energy (DOE) announced $16 million in funding for four projects in scientific machine learning for the predictive modeling and simulation of complex systems.

Developing Digital Twins for Improved Hurricane Prediction

UT’s Oden Institute will lead an interdisciplinary research project to develop a computational “digital twin” framework for storm surge modeling in the Gulf Coast that bridges the gap between multi-physics simulations and knowledge discovery through artificial intelligence (AI) and machine learning (ML) technologies.

UB pharmacy researcher aims to develop real-time algorithm to lower hospital readmission rates

To lower hospital readmission rates for patients with chronic obstructive pulmonary disease (COPD), University at Buffalo pharmacy researcher David Jacobs has received a $962,000 award from the National Heart, Lung, and Blood Institute to develop a real-time readmission risk prediction algorithm.

Mayo Clinic adds state-by-state vaccination rates, national trends to COVID-19 Resource Center

Mayo Clinic data scientists have added a vaccination tracker to Mayo’s COVID-19 Resource Center, with state-by-state data and trends, so users can follow the COVID-19 vaccine rollout in all 50 states, compare progress on one- and two-shot vaccinations, and receive Mayo Clinic guidance on what the trends mean for summer travel and keeping your family safe.